https://t.me/MLNR_Sol

Channel
Noodles' Rice Cooker
@noodlesricecooker
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
8subscribers
+0 since we began measuring on 13 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002156396118 |
|---|---|
| Type | Channel |
| Username | @noodlesricecooker |
| Created | Between 1 June 2024 and 25 July 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 13 August 2026 |
| Last confirmed live | 12 September 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 5 times, most recently 12 September 2026 |
| On Telegram | t.me/noodlesricecooker |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 14:18 | 8 | no change |
| 13 Aug 2026, 06:31 | 8 | first reading |
Engagement
20 posts held, back to 25 July 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 29 October 2024. An engagement rate over an empty window would be a number about nothing.
Reaction mix
26 reactions across 11 posts, in 3 distinct kinds. The most used accounts for 76.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 20 | 76.9% | |
| ❤ | 3 | 11.5% | |
| 👍 | 3 | 11.5% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 11 of the 20 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 26 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 25 July 2024 to 29 October 2024, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Recent posts
Please gladly welcome @TrinuScanBot in our ecosystem! Just paste the CA you would like to check and let the magic happen! The standard bot features are: 📊 Token Analysis: • Retrieve essential token information (name, symbol, price, market cap) • Calculate and display the number of token holders • Show the percentage of burned LP tokens 👥 Holder Insights: • List the top token holders with their respective percentag…
🔥1
$TRINU Utility bot just around the corner, testing looking good.
👍1🔥1
Shared this at 14k, dipped at 8k but bounced back to 50K ATH Might hit bonding later + good utility and good dev = bullish! https://sunpump.meme/token/THcKNaHtiNE3VDE7cK16L7SSe5uFZWhHfu
🔥1
I said if you are reading this chat or our twitter, you are early Bot testing is started already, we are implementing sunpump than good to roll-out! What can you expect from $TRINU? - Token scanner to check airdrops/dev sells/burns and top holder distribution - Advertisments for project-income - Revenue Share for $TRINU holders - Premium features in the bot for $TRINU holders, like Portfolio tracker and deep ana…
❤1
My first TronX play, and we know how its been picking up volume lately. Just launched, 20K ATH now at 14k mc. Safu dev, should be good https://sunpump.meme/token/THcKNaHtiNE3VDE7cK16L7SSe5uFZWhHfu
random flags, prolly nothing
Accord AI just had an ATH of 850k, that's x4 from my last post. I am getting more bullish with this project since they aim to release the bot on all different platforms such as TG and WhatsApp. Team is working smart on this and I added more to my bag. Currently 500k mcap DYOR NFA
👍1🔥1
ACCORD AI - ETH (200k MC) ETH Utility project and the first-ever crypto-specialized AI bot integrated into Discord. It is similar with Lexi AI but on WhatsApp with an 6M ATH (launched a week ago or so) This could have a big potential, since it is a first mover and targets a different but larger market (Discord) https://dexscreener.com/ethereum/0xcc6a9490efc51b53d05e7f6f867f1d78031ce3ea
$SOLARBA I shared this at multiple marketcaps and this is how much you have made at ATH: 30k -> 8x 60k -> 4x 80k -> 3x We haven't even started marketing the utilities yet. This will go to the millions!
🍜 $SOLARBA UPDATE 🍜 This is what Solarba has been working on since launch... ✅ Two pools (Raydium & Flux) to have Arbitrage opportunity ✅ 28% of total supply already burnt ✅ Volume and Rank Bot Ready ✅ FREE Demo for Rank Bot ✅ Youtube Video on Rick's channel if avail 30 day rental ✅ Revenue Share for holders with 5k+ tokens(10% of revenue), frequency of distribution will be announced soon 📜 CA: 6Qd6mmFR84jzg24S385…
Go ape $SOLARBA (60k MC) https://t.me/SolARBaPortal Volume and Rank bot already online Both utilities to be marketed later to KOLs and SOL projects Fatality and Orbit (similar utilities) both had an ATH around 5M Imagine that with $SOLARBA, that is a x80 from current market cap. Stop aping rugs and start aping on safe projects with a safe dev 😉 Other notes: 🟢 ~25% supply already burned 🟢 Revenue from the bot w…
🔥3
Showing the 12 most recent of 20 posts we hold for @noodlesricecooker. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 13 August 2026 — this entry's latest reading, not the date you are reading this.
“Noodles' Rice Cooker” (@noodlesricecooker), 8 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/noodlesricecooker.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.